Journal of Innovation & Knowledge最新文献_第7页

Outcomes of innovative technologies and smart transformation of the energy sector 能源领域创新技术和智能转型的成果

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100910

Olena Chygryn , Yevheniia Ziabina , Dalia Štreimikienė , Yuriy Bilan

Smart energy transformation processes include the use of innovative energy technologies and infrastructure and contribute to decreasing the environmental load by reducing greenhouse gas emissions, increasing the quality of service to consumers, ensuring a stable and uninterrupted supply of electricity, and providing the possibility of effective management of energy consumption. Multiple correlation regression analysis is used to test the relationship between the final consumption of electricity and the cost of electricity, import of electricity supply or production meters, including their calibration, electricity production from renewable sources except for hydroelectric power in Ukraine, and total electricity production per person. The study period is 2010–2022. There is a strong direct relationship between the total electricity production per person and the final consumption of electricity, which indicates that an increase in electricity consumption leads to an increase in its output of 17.98% under an optimistic scenario and 50.2% under a pessimistic scenario. Management decisions based on the understanding of the strong dependence between the production and consumption of electricity should be aimed at the balanced development of the energy system, increasing energy efficiency and sustainability, and minimising environmental impact. The smart transformation of the electric power industry should include introducing innovative technologies to improve the efficiency, reliability, and sustainability of energy systems.

智能能源转型过程包括使用创新的能源技术和基础设施，通过减少温室气体排放、提高对消费者的服务质量、确保稳定和不间断的电力供应，以及提供有效管理能源消耗的可能性，有助于减少环境负荷。使用多元相关回归分析来检验最终用电量与电力成本、电力供应或生产电表的进口（包括其校准）、乌克兰水力发电以外的可再生能源发电量以及人均总发电量之间的关系。研究期间为2010-2022年。人均总发电量与最终用电量之间存在很强的直接关系，这表明用电量的增加导致其产量在乐观情景下增长17.98%，在悲观情景下增长50.2%。基于对电力生产和消费之间的强烈依赖性的理解而作出的管理决定应着眼于能源系统的平衡发展，提高能源效率和可持续性，并尽量减少对环境的影响。电力行业的智能转型应包括引入创新技术，以提高能源系统的效率、可靠性和可持续性。

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引用次数: 0

Knowledge and drivers of rural e-commerce entrepreneurial vibrancy: A fuzzy-set qualitative comparative analysis study 农村电子商务创业活力的知识与驱动因素：模糊集定性比较分析研究

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100911

Lijuan Huang , Yi Huang , Zhe Rong , Guojie Xie

Fostering rural e-commerce entrepreneurial vibrancy is crucial for achieving regional economic transformation and sustainable development. However, existing research has predominantly examined the net effects of individual factors, overlooking the diverse pathways and complex causal mechanisms that shape high levels of entrepreneurial activity. Integrating entrepreneurial ecosystem theory with a configurational perspective, this study proposes an analytical framework that incorporates resource, social, and institutional elements. Using fuzzy-set qualitative comparative analysis on 28 provincial-level administrative regions in China, the study identifies three equifinal pathways to high rural e-commerce entrepreneurial vibrancy: the endogenous factor-driven path, a formal institution-driven path, and a multi-source support-compensatory path. An in-depth analysis of the underlying mechanisms reveals that these pathways correspond to the logics of opportunity leveraging, opportunity building, and institution empowering, respectively. A cross-configurational comparison further identifies two higher-order driving logics: opportunity anchoring and institution anchoring. By moving beyond traditional linear assumptions, our findings highlight the configurational effects that drive rural entrepreneurship, including the substitutional and complementary relationships among constituent elements. These insights not only provide policymakers with a foundation for developing precise, context-specific strategies that transcend "one-size-fits-all" approaches but also offer a novel theoretical perspective on how less-developed regions can achieve endogenous development through diverse combinations of resource endowments.

培育农村电子商务创业活力，是实现区域经济转型和可持续发展的关键。然而，现有的研究主要考察了个体因素的净效应，忽视了形成高水平创业活动的多种途径和复杂的因果机制。本研究结合创业生态系统理论和配置视角，提出了一个整合资源、社会和制度要素的分析框架。通过对中国28个省级行政区的模糊集定性比较分析，确定了农村电商创业活力提升的三个等效路径：内生因素驱动路径、正规制度驱动路径和多源支持补偿路径。对潜在机制的深入分析表明，这些路径分别对应于机会杠杆、机会构建和制度授权的逻辑。跨配置比较进一步确定了两种高阶驱动逻辑：机会锚定和制度锚定。通过超越传统的线性假设，我们的研究结果强调了驱动农村创业的配置效应，包括构成要素之间的替代和互补关系。这些见解不仅为决策者提供了制定超越“一刀切”方法的精确、因地制宜的战略的基础，而且为欠发达地区如何通过资源禀赋的多样化组合实现内生发展提供了新的理论视角。

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引用次数: 0

How does entrepreneurial orientation influence firm performance? A moderated mediation model of tacit knowledge and green innovation 创业取向如何影响企业绩效？有调节的隐性知识与绿色创新中介模型

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100913

Ana Labella-Fernández , Carlos Martínez-Egea , Belén Payán-Sánchez

This study investigates how entrepreneurial orientation (EO) influences firm performance, focusing on both environmental and financial performance. Drawing on the resource-based view (RBV) and knowledge-based view (KBV), the study develops an integrative framework in which green product and process innovations mediate the EO–performance relationship, while tacit knowledge functions as a boundary condition that strengthens the effects of EO on green product and process innovations. Using survey and objective data from 244 firms in the Spanish textile industry, this study employs partial least squares structural equation modeling and a moderated mediation approach to test the proposed relationships. The findings suggest that green product innovation contributes similarly to environmental and financial performance, whereas green process innovation has a stronger effect on environmental performance. Moreover, tacit knowledge amplifies the impact of EO on green innovation—particularly green product innovation—by facilitating the effective use of internal knowledge resources to achieve sustainability-driven competitiveness. Overall, the study advances the understanding of how EO fosters innovation and performance within the combined frameworks of RBV and KBV, offering theoretical and practical insights for firms aiming to enhance environmental and financial performance by combining EO with knowledge-driven innovation.

本研究探讨创业导向（EO）如何影响企业绩效，重点关注环境绩效和财务绩效。基于资源基础观和知识基础观，本文构建了绿色产品和工艺创新在绩效关系中起中介作用，隐性知识作为边界条件，强化了绿色产品和工艺创新对绩效影响的整合框架。本研究利用西班牙纺织业244家公司的调查和客观数据，采用偏最小二乘结构方程模型和有调节的中介方法来检验所提出的关系。研究结果表明，绿色产品创新对环境绩效和财务绩效的贡献相似，而绿色工艺创新对环境绩效的影响更大。此外，隐性知识通过促进内部知识资源的有效利用来实现可持续驱动的竞争力，从而放大了EO对绿色创新（尤其是绿色产品创新）的影响。总体而言，该研究推进了对环境绩效与知识驱动型创新相结合框架下环境绩效如何促进创新和绩效的理解，为旨在通过将环境绩效与知识驱动型创新相结合来提高环境绩效和财务绩效的企业提供了理论和实践见解。

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引用次数: 0

Team process innovation in the new work landscape: The role of feedback climate and empowerment in dispersed settings 新工作环境中的团队流程创新：在分散环境中反馈气候和授权的作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-11 DOI: 10.1016/j.jik.2025.100903

Massimo Magni , Leonardo Caporarello , Emilia Paolino

The widespread diffusion of information and communication technologies, along with post-pandemic work arrangements, has led organizations to increasingly utilize dispersed teams to integrate knowledge across various locations. Despite the potential benefits, dispersed teams often fail to continuously innovate their processes because of hampered feedback exchange among team members. Our study explores how team dispersion affects the development of team feedback climate, and, in turn, team process innovation. We rely on a structural equation modeling approach applying the Partial Least Squares (PLS) technique to analyze survey data from 594 team members and leaders, as well as objective data across 123 teams. The study highlights that the lack of co-location hinders an effective feedback climate, which is essential for fostering teams’ ability to continuously innovate their work processes. Additionally, it examines how team empowerment can mitigate the negative effects of dispersion by giving team members greater control. Our findings underscore the importance of feedback climate and suggest that empowerment can alleviate the negative effects of dispersion, offering valuable insights for managers and organizations to reap the advantages of new distributed work models and alleviate the burden of liabilities.

信息和通信技术的广泛传播，加上大流行后的工作安排，导致各组织越来越多地利用分散的团队来整合不同地点的知识。尽管有潜在的好处，但由于团队成员之间的反馈交流受阻，分散的团队经常无法持续创新他们的过程。我们的研究探讨了团队分散如何影响团队反馈气候的发展，进而影响团队过程创新。我们依靠结构方程建模方法，应用偏最小二乘（PLS）技术来分析来自594名团队成员和领导者的调查数据，以及123个团队的客观数据。该研究强调，缺少同地办公阻碍了有效的反馈氛围，而这对于培养团队不断创新其工作流程的能力至关重要。此外，它还研究了团队授权如何通过给予团队成员更大的控制权来减轻分散的负面影响。我们的研究结果强调了反馈环境的重要性，并建议授权可以减轻分散的负面影响，为管理者和组织提供有价值的见解，以获得新的分布式工作模型的优势，并减轻责任负担。

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引用次数: 0

Teamwork in project management: Mapping AI as mediator with triangulated bibliometrics (1966–2023) under the IMOI framework 项目管理中的团队合作：在IMOI框架下，用三角文献计量学（1966-2023）映射人工智能作为中介

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-10 DOI: 10.1016/j.jik.2025.100908

Isabel Ortiz-Marcos , Laura Rodrigo , Miguel Palacios , Rocio Rodriguez-Rivero

We map the intellectual structure of teamwork in project management (PM) using a triangulated bibliometric design to interrogate 16,320 Scopus records (1966–November 2023). Three complementary lenses—keyword co-occurrence (topical cohesion), bibliographic coupling (research front), and co-citation (conceptual foundations)—are interpreted through an IMOI team-effectiveness lens that organizes mediators (affective, behavioral, cognitive) by phase (forming, functioning, finishing). We also overlay AI-related terms and treat AI as a socio-technical mediator—a cognitive augmenter, a coordination infrastructure, and a learning/retention aid—rather than as a standalone topic. To enhance rigor, we document analytic choices in an Assumption & Parameter Log, apply anchor-based labeling rules (Interpretive Propositions), and assess robustness to threshold and resolution choices.

The results reveal three consolidated domains—project success, agile methodologies, and knowledge management—and two emergent domains—virtual/distributed teams and leadership—concentrated in construction and software contexts, where ERP and product development are increasingly prevalent. Across the maps produced, three mediators recur: coordination under uncertainty (behavioral), shared mental models/transactive memory (cognitive), and trust/psychological safety (affective). AI is most visible at topical and research-front layers (decision support, BIM analytics, context-aware allocation) and less embedded in the field’s foundational canon. We contribute a mediator-first account of PM teamwork that clarifies where AI lands in team processes, offer phase-specific guidance for matching AI affordances to mediators, and demonstrate a reproducible mapping protocol for exploratory bibliometrics. Limitations (single database, concept-measure gaps for AI) suggest the desirability of phase-aware, mechanism-level studies and cross-sector comparisons.

我们使用三角文献计量学设计来查询16320份Scopus记录（1966年至2023年11月），绘制了项目管理（PM）团队合作的智力结构。三个互补的镜头——关键词共现（主题衔接）、书目耦合（研究前沿）和共引（概念基础）——通过IMOI团队效率镜头进行解释，该镜头按阶段（形成、功能、完成）组织中介（情感、行为、认知）。我们还覆盖了人工智能相关的术语，并将人工智能视为一种社会技术中介——一种认知增强器、一种协调基础设施和一种学习/记忆辅助工具——而不是一个独立的主题。为了提高严谨性，我们在假设参数日志中记录分析选择，应用基于锚点的标记规则（解释性命题），并评估阈值和分辨率选择的鲁棒性。结果揭示了三个统一的领域——项目成功、敏捷方法和知识管理——以及两个新兴领域——虚拟/分布式团队和领导力——集中在建筑和软件环境中，其中ERP和产品开发日益流行。在绘制的地图中，三种媒介反复出现：不确定性下的协调（行为），共享心理模型/交互记忆（认知）和信任/心理安全（情感）。人工智能在主题和研究前沿层面（决策支持、BIM分析、情境感知分配）最为明显，而在该领域的基础经典中嵌入较少。我们贡献了PM团队合作的中介优先帐户，该帐户澄清了AI在团队过程中的位置，为将AI功能与中介相匹配提供了特定阶段的指导，并为探索性文献计量学演示了可重复的映射协议。局限性（单一数据库，人工智能的概念-测量差距）表明，需要进行阶段感知、机制层面的研究和跨部门比较。

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引用次数: 0

Sustainable governance and technological innovation: Moderating environmental risks of resource rents 可持续治理与技术创新：减缓资源租金的环境风险

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-06 DOI: 10.1016/j.jik.2025.100902

Xuefeng Shao , Chengming Hu , Manal Yunis , Lulu Hao

Over the years, the over-extraction and unsustainable utilization of natural resources has started to pose a severe environmental risk, necessitating immediate action on issues related to climate change. Therefore, this study examines the relationship between natural resources rent and environmental risk, and whether financial technology (FinTech) and institutional quality moderate this relationship in the context of the top 27 contaminating countries from the years pertaining to 1995 to 2022. Using the novel Method of Moments Quantile Regression (MMQR) approach, our study analyzes heterogeneous long-run coefficients across 10th, 25th, 50th, 75th, and 90th quantiles of environmental risk. In this regard, the MMQR findings have revealed that natural resources rent leads to an increase in the environmental risk, while FinTech and institutional quality tend to mitigate it. The moderation effect models revealed that both FinTech and institutional quality suppress the adverse environmental outcomes that are exerted by the natural resources rent. The Driscoll and Kray standard error (DKse) and Fully Modified Ordinary Least Square (FMOLS) estimation techniques confirm the robustness of the MMQR findings. These findings emphasize that policymakers and think tank initiatives should promote FinTech and robust institutions to encourage sustainable resource utilization in order to mitigate the environmental crisis.

多年来，自然资源的过度开采和不可持续利用已经开始构成严重的环境风险，需要立即采取行动应对气候变化问题。因此，本研究考察了自然资源租金与环境风险之间的关系，以及金融技术（FinTech）和制度质量是否在1995年至2022年污染最严重的27个国家的背景下调节了这种关系。本研究采用矩分位数回归（MMQR）方法，分析了环境风险第10、25、50、75和90分位数的异质性长期系数。在这方面，MMQR的研究结果显示，自然资源租金导致环境风险增加，而金融科技和机构质量往往会减轻环境风险。调节效应模型表明，金融科技和制度质量都抑制了自然资源租金对环境的不利影响。Driscoll和Kray标准误差（DKse）和完全修正普通最小二乘（FMOLS）估计技术证实了MMQR研究结果的稳健性。这些发现强调，政策制定者和智库倡议应促进金融科技和健全的制度，以鼓励可持续的资源利用，以缓解环境危机。

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引用次数: 0

Trust transference and cognitive affective trust dichotomy in TikTok short-form videos: The moderating role of source homophily TikTok短视频中的信任转移与认知情感信任二分法：来源同质性的调节作用

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-06 DOI: 10.1016/j.jik.2025.100890

Rajat Subhra Chatterjee , Mosharrof Hosen , Irfan Hameed , Hafiz Mudassir Rehman

This study explores the under-researched area of cognitive-affective trust transference within the context of short-form videos (SFV) on the TikTok platform. It also provides new insights into the impact of source homophily that arises from viewing SFV. The study incorporates trust transfer theory into the Stimulus-Organism-Response (SOR) model perspective to examine trust transference. Data were gathered from 411 online users in Malaysia using a purposive sampling technique. Partial least squares structural equation modeling has been used to analyze the data via SmartPLS. The findings suggest that video characteristics, platform trust, and source credibility of SFVs on TikTok affect affective trust and perceived homophily. Additionally, affective trust mediates the impact of perceived homophily on purchase intention. Furthermore, perceived homophily moderates the relationship between affective trust and purchase intention. This study offers original insights into how cognitive trust influences affective trust and purchase intention in TikTok SFVs. It examines trust transfer in livestreams and how perceived source homophily can serve as an effective intervention. The findings have novel theoretical implications, advancing our understanding of trust mechanisms in social media and e-commerce.

本研究探讨了TikTok平台短视频（SFV）背景下认知情感信任转移研究不足的领域。它还提供了新的见解，对源同源性的影响，产生了观看SFV。本研究将信任迁移理论引入刺激-有机体-反应（SOR）模型的视角来考察信任迁移。使用有目的的抽样技术从马来西亚的411名在线用户中收集数据。采用偏最小二乘结构方程模型对数据进行分析。研究结果表明，TikTok上sfv的视频特征、平台信任和来源可信度会影响情感信任和感知同质性。此外，情感信任在感知同质性对购买意愿的影响中起中介作用。此外，感知同质性调节情感信任与购买意愿的关系。本研究对认知信任如何影响TikTok sfv的情感信任和购买意愿提供了独到的见解。它研究了直播中的信任转移以及感知源同质性如何作为有效的干预措施。这些发现具有新的理论意义，促进了我们对社交媒体和电子商务中信任机制的理解。

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引用次数: 0

Beyond linearity: Quantifying SDG saturation in complex national innovation ecosystems 超越线性：量化复杂国家创新生态系统中的可持续发展目标饱和度

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-05 DOI: 10.1016/j.jik.2025.100907

Giacomo Masali , Donato Morea , Carlo Giglio , Gianpaolo Iazzolino , Guido Perboli , Maria Elena Bruni

This study investigates the complex, nonlinear dynamics of the achievement of Sustainable Development Goals (SDGs) within national innovation ecosystems (NIEs), addressing a critical gap in understanding SDG saturation. Studying this topic is crucial because, despite the growing importance of sustainability issues in innovation ecosystem research driven by social and economic pressure, the literature remains fragmented and undecided, lacking a clear understanding of complex governance and operational frameworks in NIEs. Employing the Bass diffusion model, we analyze 22 years of SDG Index score data (2000–2021) from 177 countries/regions. The model quantifies SDG saturation time, accounting for complex interdependencies and threshold effects overlooked by traditional linear models. Findings reveal characteristic S-shaped adoption curves for most countries, indicating initial slow progress, acceleration driven by imitation, and eventual saturation. Geographical and socioeconomic clustering analyses highlight distinct patterns in SDG progress that depend on the peculiarities of complex systems in national contexts. High-income countries exhibit greater innovation efforts but lower saturation potential due to the proximity to SDG ceilings, while lower-income countries face complex structural constraints. The Bass model proves effective for forecasting SDG saturation and informing policy interventions in complex systems like NIEs, emphasizing the need for context-dependent governance and resource allocation to accelerate equitable sustainable development across the globe.

本研究探讨了国家创新生态系统（NIEs）内实现可持续发展目标（SDG）的复杂非线性动态，解决了理解可持续发展目标饱和的关键空白。研究这一主题至关重要，因为尽管在社会和经济压力的推动下，可持续性问题在创新生态系统研究中越来越重要，但文献仍然是碎片化的和未确定的，缺乏对新兴企业复杂治理和运营框架的清晰理解。采用Bass扩散模型，我们分析了177个国家/地区22年来的可持续发展目标指数得分数据（2000-2021）。该模型量化了SDG饱和时间，考虑了传统线性模型忽略的复杂相互依赖关系和阈值效应。研究结果揭示了大多数国家的典型s型采用曲线，表明最初的缓慢进展，在模仿的推动下加速，最终达到饱和。地理和社会经济聚类分析突出了可持续发展目标进展的不同模式，这些模式取决于各国复杂系统的特点。高收入国家表现出更大的创新努力，但由于接近可持续发展目标上限，饱和潜力较低，而低收入国家则面临复杂的结构性限制。事实证明，Bass模型可有效预测可持续发展目标的饱和程度，并为新兴市场等复杂系统中的政策干预提供信息，强调需要根据具体情况进行治理和资源分配，以加速全球公平的可持续发展。

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引用次数: 0

Does AI promote synergistic efficiency in reducing textile industry pollution and carbon emissions? 人工智能在减少纺织工业污染和碳排放方面是否促进了协同效率？

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-05 DOI: 10.1016/j.jik.2025.100904

Lelai Shi , Qiuhang Chen , Hong Lin

This study uses 102 textile enterprises listed in China’s A-share market from 2012 to 2022 as the research objects to explore the impact of artificial intelligence (AI) on enhancing textile enterprises’ pollution and carbon emissions reduction. Findings reveal that AI can significantly promote textile enterprises’ coordinated enhancement of pollution and carbon emissions reduction, and this finding holds after a series of robustness tests. The mechanism analysis demonstrates that textile enterprises’ pollution and carbon emissions reduction can be promoted by AI through improving textile raw material suppliers’ total factor productivity, increasing the fixed investment for pollution and carbon emissions reduction, and reducing the price of cotton. Heterogeneity analysis reveals that the positive impact of AI is more significant for textile enterprises with high environmental regulation intensity, executives with digital backgrounds, and intellectual property demonstration cities. In response to these findings, we propose relevant policy suggestions to provide references for accelerating textile enterprises’ transformation and upgrading and promoting steady economic growth.

本研究以2012年至2022年在中国a股上市的102家纺织企业为研究对象，探讨人工智能（AI）对增强纺织企业污染减排和碳减排的影响。研究结果表明，人工智能可以显著促进纺织企业污染减排和碳减排的协同增强，经过一系列稳健性检验，这一发现成立。机制分析表明，人工智能可以通过提高纺织原料供应商的全要素生产率、增加污染减排和碳减排的固定投资、降低棉花价格来促进纺织企业的污染减排和碳减排。异质性分析表明，人工智能对环境监管强度高的纺织企业、具有数字化背景的高管和知识产权示范城市的积极影响更为显著。针对这些发现，我们提出了相关的政策建议，为加快纺织企业转型升级，促进经济平稳增长提供参考。

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引用次数: 0

Consumer innovation resistance and green technological innovation behavior: an evolutionary game approach 消费者创新抗拒与绿色技术创新行为：一种演化博弈方法

IF 15.5 1区管理学 Q1 BUSINESS

Journal of Innovation & Knowledge

Pub Date : 2025-12-04 DOI: 10.1016/j.jik.2025.100905

Xingwei Li, Guichuan Zhou, Beiyu Yi

Green technology innovation (GTI) is crucial for enhancing the resource utilization of construction and demolition waste (CDW). However, consumer resistance to products made from recycled CDW significantly constrains their advancement. Existing studies largely emphasize government policies and technological progress, while the pivotal influence of consumer innovation resistance remains underexplored. This study applies evolutionary game theory, grounded in innovation resistance theory, to examine the long-term interactive dynamics between consumers and building material manufacturers (BMMs). The results reveal that (1) both consumers’ stronger willingness to purchase green innovative products and BMMs’ higher initial intention to adopt GTI foster sustainable green development; and (2) the degree of consumer innovation resistance exerts heterogeneous effects on BMMs’ GTI decisions, whereas consumer green preferences consistently stimulate GTI adoption. Overall, this study elucidates the evolutionary mechanisms through which consumer innovation resistance and green preferences affect BMMs’ GTI behavior, addressing a key gap in the CDW domain. It further offers theoretical guidance for enterprises to mitigate innovation resistance, refine GTI strategies, and advance sustainable innovation in the construction industry.

绿色技术创新是提高建筑垃圾资源化利用的重要手段。然而，消费者对由再生CDW制成的产品的抵制极大地限制了它们的发展。现有研究大多强调政府政策和技术进步，而消费者创新阻力的关键影响尚未得到充分探讨。本研究以创新阻力理论为基础，运用演化博弈论检视消费者与建材制造商之间的长期互动动态。结果表明：(1)消费者购买绿色创新产品的意愿较强，零售商采用GTI的初始意愿较高，有利于可持续绿色发展；(2)消费者创新抗拒程度对零售企业的GTI决策具有异质性影响，而消费者绿色偏好对GTI采用具有一致性影响。总体而言，本研究阐明了消费者创新阻力和绿色偏好影响商业地产商GTI行为的演化机制，填补了CDW领域的一个关键空白。进一步为企业缓解创新阻力、完善GTI战略、推进建筑业可持续创新提供理论指导。

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引用次数: 0